An Integrated Nucleic Acid Sequence-Based Amplification (NASBA) and CRISPR-Cas13a-Based Platform for Accurate and Sensitive Detection of Cucumber Mosaic Virus.
Herma A Demissie, Subha Das, Jeremy R Thompson, Julius B Lucks
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引用次数: 0
Abstract
Cucumber mosaic virus (CMV) is a highly prevalent ssRNA viral crop pathogen that contributes to substantial losses in agricultural productivity worldwide. The first step in managing the impact of this pathogen is an accurate and timely diagnosis. However, current sensing strategies are hampered by several limitations, including insufficient sensitivity, off-target effects, and the need for complex instrumentation. To address these challenges, we refined a highly specific and sensitive system that pairs nucleic acid sequence-based amplification (NASBA) with clustered regularly interspaced short palindromic repeats (CRISPR)-Cas13a to selectively amplify and detect crop pathogens. To configure this system for CMV biosensing, we first screened guide RNAs and successfully validated designs that detect attomolar concentrations of purified CMV fragments. We then developed a simplified reaction assembly workflow toward optimizing the system for downstream point-of-use utility. Using this workflow, we demonstrated minimal matrix effects when detecting purified CMV fragments in a range of plant lysate backgrounds and showed high test specificity to CMV in the presence of common nontarget viral crop pathogens. We also showed that the NASBA-Cas13a system effectively detects the viral target in infected plant samples, as validated by reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Finally, we optimized the system for lyophilization and long-term storage, toward preparing it for point-of-use settings. This work expands the suite of CMV diagnostic tools, offering a sensitive, specific, and user-friendly biosensing strategy. Through modular design, this assay has the potential to be reconfigured for the detection of a range of crop viruses, enhancing viral surveillance and improving infection management.
期刊介绍:
The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism.
Topics may include, but are not limited to:
Design and optimization of genetic systems
Genetic circuit design and their principles for their organization into programs
Computational methods to aid the design of genetic systems
Experimental methods to quantify genetic parts, circuits, and metabolic fluxes
Genetic parts libraries: their creation, analysis, and ontological representation
Protein engineering including computational design
Metabolic engineering and cellular manufacturing, including biomass conversion
Natural product access, engineering, and production
Creative and innovative applications of cellular programming
Medical applications, tissue engineering, and the programming of therapeutic cells
Minimal cell design and construction
Genomics and genome replacement strategies
Viral engineering
Automated and robotic assembly platforms for synthetic biology
DNA synthesis methodologies
Metagenomics and synthetic metagenomic analysis
Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction
Gene optimization
Methods for genome-scale measurements of transcription and metabolomics
Systems biology and methods to integrate multiple data sources
in vitro and cell-free synthetic biology and molecular programming
Nucleic acid engineering.